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Data-driven and analytics-powered

A new wave of advanced analytics is helping today's supply chain operations leaders make better decisions that impact top and bottom-line growth.

Overview

That’s the future order for supply chain operations. Today’s increasingly complex global operations and new digital technologies are giving rise to a sea of data and the evolution of a smarter, more efficient networked supply model. The modern digital supply network model will be powered by advanced analytics, which will be embedded throughout its entire operation—and without analytics, virtually inoperable.

Digital and Data-Driven

The pressure is on. Supply chain operations must gear up to adopt a modern digital supply network model enabled with advanced analytical capabilities—and fast.

From supply chain executives to line managers, the drum beat of digital grows louder, with increased internal and external pressure to implement digital technologies in the supply chain.

The adoption of analytics technologies, in particular, has already impacted and will have an increasingly significant impact on organizations’ supply chains across a multitude of industries.

The roadmap for digital technology implementation is paved with opportunities to improve operational efficiency and decision making across the supply chain.

The business case for the digital supply chain is evident. From automotive to pharmaceuticals to consumer packaged goods and more, companies are seeing tremendous benefits throughout the supply chain—from more accurate forecasting to reduced logistics costs.

With the volume of structured and unstructured data increasing globally, traditional supply chains that fail to evolve will become increasingly overwhelmed and eventually grind to a halt, or best case scenario, struggle along for a limited and uncertain future.

The Model of the Very Near Future

To enable more effective operational decision making, supply chain managers need to make sense of all the data generated. Analytics, the science of translating data into meaningful and actionable insights, will power the data-driven digital supply network of the future.

VISUALIZATION
Powerful software and self-service tools are enabling real-time data visualization and a more immersive and interactive user experience for insights consumption, facilitating rapid identification of operational bottlenecks and risks and more robust root cause analysis.

MACHINES
Advances in machine learning, cognitive computing, Internet of Things (IoT) and robotics are impacting all supply chain functions, automating decisions and driving a host of operational improvements—from asset utilization to customer intimacy to service and enterprise agility.

SECURITY
Supply chain analytics is playing a key role in overall supply chain security as a more open and connected ecosystem of players creates a dynamic, quickly shifting environment with new risks to manage.

Powerful New Capabilities

Supply chain analytics offers the capability to enable increased automation efficiencies and business intelligence for facilitating more proactive, effective decision making. Businesses can in turn leverage greater economies of scale while more effectively serving the unique and localized market needs of customers.

Analytics insights can help positively impact top and bottom-line business growth specifically through improvements across the whole supply chain:

DESIGN
Make better informed, more cost-effective design decisions with time/cost analytics and simulation.

SERVICE
Improve customer service and loyalty with IoT and predictive analytics, detection of quality issues via warranty claims analysis, and service network and resource optimization.

To effectively compete and stay ahead in the future, supply chain managers need to adopt a modern digital supply network model enabled with analytics. An inescapable reality, the future of your organization’s supply chain operations will depend on analytics.

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